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Various International Organization for Standardization (ISO) standards (Hone & Eloff 2002) also serve as a source of best practices and guidelines, especially with respect to security, for the design of privacy friendly systems.
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These factors combine to make the design of privacy-preserving mechanisms difficult.
Different utility models lead to different design of privacy-preserving techniques.
A comprehensive privacy model plays a vital role in the design of privacy-preserving RFID authentication protocols.
Unfortunately, the design of privacy-preserving mechanisms is hampered by the fact that there is a trade-off between privacy guarantees and sensing fidelity [53].
Both of them consider malicious coordinator and use both encryption and differential privacy for the design of privacy-preserving data aggregation methods.
Our design of privacy-preserving techniques is principled on not requiring a trusted third-party while being highly efficient in terms of time and space complexities.
We propose an integrated design of a Privacy Enhancing Support System (PESS) with three proposed tools, namely privacy-enhancing search feature (PESearch), privacy-enhancing control for personal data (PEControl), and privacy-enhancing review for sharing the ratings and reviews of websites' privacy practices (PEReview).
Careful design of information privacy policies is one significant means to induce providing personal information.
In Section 3, we describe the higher level design of our privacy protection system and its components.
In this section we discuss an instance of this case [22]; in particular, we show as the privacy-by-design methodology can help in the design of a privacy-aware distributed analytical processing framework for the aggregation of movement data.
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